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• W3081001054 abstract "Abstract Background High-dose long-term use of anabolic-androgenic steroids (AAS) may bring a range of health consequences, including brain and cognitive abnormalities. We performed age prediction based on brain scans to test whether prolonged AAS use is associated with accentuated brain aging. Methods T1-weighted brain MRI data were obtained from male weightlifters with a history of prolonged (n = 133) or no (n = 105) AAS use. We trained machine learning models on combinations of regional brain volumes, cortical thickness and surface area in an independent training set of 1838 healthy males aged 18–92 years and predicted brain age for each participant in our study. We used linear models to compare the gap between chronological age and predicted brain age (the brain age gap, BAG) between the two groups, and, in a subsample with longitudinal data (mean interval 3.5 years), tested for group differences in the change rate of BAG. Moreover, we tested for associations between apparent brain aging and AAS use duration, administration pattern and dependence. Results AAS users had higher BAG compared to weightlifting controls with strongest effects for frontal and insular regions. Higher BAG was associated with current AAS use, dependency, and longer history of AAS use. Group differences in BAG could not be explained by substance use, general cognitive abilities or depression. Longitudinal data revealed no group difference in the rate of BAG change. Conclusions The findings suggest that long-term high dose AAS use may have adverse effects on brain aging, potentially linked to current and exaggerated use of AAS." @default.
• W3081001054 created "2020-09-01" @default.
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• W3081001054 date "2020-08-22" @default.
• W3081001054 modified "2023-10-18" @default.
• W3081001054 title "Long-term anabolic androgenic steroid use is associated with deviant brain aging" @default.
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• W3081001054 doi "https://doi.org/10.1101/2020.08.19.20177832" @default.
• W3081001054 hasPublicationYear "2020" @default.
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